WPAA: WebPage Architecture Analyzer

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WPAA is a comprehensive tool for analyzing and visualizing HTML architecture of web pages. It provides tree-structured visualization for both static and dynamic web pages, making DOM structure analysis intuitive and efficient.

Key Features

• 🌳 Tree Visualization: Hierarchical representation of HTML structure
• 🔄 Change Detection: Automatic detection and comparison of webpage structure changes
• 🌐 Web Interface: Intuitive web UI for easy analysis
• 📊 Multiple Export Formats: Support for SVG, interactive HTML, CSV, and Markdown
• ⚡ Performance Optimization: Asynchronous processing, caching, and memory optimization
• 🔧 Static/Dynamic Analysis: Support for JavaScript-rendered web pages
• 🎯 Custom Filtering: CSS selector and attribute filtering capabilities
• 📈 Performance Monitoring: Track execution time, memory usage, and cache efficiency

Installation

Setup Guide

Requirements

Python 3.7+
pip install -r requirements.txt

Required External Programs:

1. Graphviz Installation:

   • Download installer from official website
   • Add bin directory to system PATH (e.g., C:\Program Files\Graphviz\bin)

2. ChromeDriver Installation (for dynamic page analysis):

   • Download from ChromeDriver website
   • Save to appropriate location and update path in code:

     service = Service('your/path/to/chromedriver')

Usage

1. Web Interface (Recommended)

python run_web_interface.py

Access http://127.0.0.1:5000 in your browser for intuitive web-based analysis.

Web Interface Features:

• 📱 User-friendly web UI
• 🔄 Real-time analysis progress display
• 📊 Download various output formats
• 🔍 Change comparison functionality
• 📈 Performance statistics

2. Command Line Interface

Basic usage:

python wpaa_run.py --urls https://example.com

Advanced options:

python wpaa_run.py --urls https://example.com https://test.com \
  --exclude script style \
  --include-attrs class href \
  --custom-filter "div.content" \
  --max-depth 3 \
  --export-html \
  --compare-changes \
  --show-performance

Command Line Options

• --urls: List of webpage URLs to analyze (required)
• --use-selenium: Use Selenium for dynamic content fetching
• --exclude: HTML tags to exclude (e.g., script style)
• --include-attrs: HTML attributes to include in nodes (e.g., class id href)
• --custom-filter: Filter specific elements using CSS selectors (e.g., div.classname)
• --max-depth: Limit maximum tree depth
• --include-text: Include text content
• --output: Choose output format (text or json)
• --visualize: Visualize tree structure as PNG file
• --export-svg: Export to SVG format
• --export-html: Export to interactive HTML
• --export-csv: Export to CSV format
• --export-markdown: Export to Markdown format
• --compare-changes: Compare with previous version
• --show-performance: Display performance report
• --optimize-tree: Optimize tree structure

Examples

Basic Analysis

python wpaa_run.py --urls https://news.ycombinator.com

Dynamic Content Analysis (Using Selenium)

python wpaa_run.py --urls https://www.example.com --use-selenium

Exclude Specific Tags and Visualize

python wpaa_run.py --urls https://www.example.com --exclude script style meta link --visualize

Include Specific Attributes and JSON Output

python wpaa_run.py --urls https://www.example.com --include-attrs class id href --output json

Interactive HTML with Change Comparison

python wpaa_run.py --urls https://www.example.com --export-html --compare-changes --show-performance

Export to Multiple Formats

python wpaa_run.py --urls https://www.example.com --export-svg --export-csv --export-markdown

Architecture Overview

• Caching: Performance optimization for repeated URL analysis
• Asynchronous Processing: Concurrent analysis of multiple URLs
• Error Handling: Consistent error handling through decorators
• Tree Structure: HTML DOM visualization using anytree library

Development History

MK-II_2523: Feature improvements completed

• Tree comparison functionality for detecting site changes
• Web interface implementation
• Support for more output formats (SVG, interactive HTML)
• Performance optimization and memory usage improvements